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This new edition of a bestselling title offers a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a wide range of disciplines.Program Management for Improved Business Results, Second Edition is a practical guide to real-world program management, written to align with the rigorous PMI PgMP certification standards.In today's job environment, earning a GED can give you an edge against the competition, whether it's to get a new job or advance in the one you already have.Creating Business Agility, creating Business Agility provides a game plan for integrating technology to build a smarter, more customer-centric business.Step-by-step instructions help the non-statistician to fully understand the methodology.
Big Data, Big Innovation details a groundbreaking approach to ensuring your company's upward trajectory.
This book examines the Physical Layer (PHY) of the LTE standards by incorporating three conceptual elements: an overview of the theory behind key enabling technologies; a concise discussion regarding standard specifications; and the matlab algorithms needed to simulate the standard.
In Big Data, Big Innovation: Enabling Competitive Differentiation Through Business Analytics, author Evan Stubbs explores the potential gold hiding in your un-mined data.
Written by a team composed of both industry professionals and academics, the book strikes a balance between theory and practice that facilitates understanding and better prepares candidates for the PgMP.Big data is big business.Reporting is only the beginning.In enterprise settings, it's critical for developers to ensure they always have working code, and that's what makes testing methodologies so attractive.BMW, Mercedes Benz, Audi and, volkswagen, to more affordable cars from, toyota, Honda, Nissan, Mazda, Hyundai, Subaru, Kia, Suzuki and.The methodology is complemented by case studies to create a versatile reference book, allowing readers to look for specific methods as well as for specific applications.A proven go-to guide for data analysis, Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition focuses on basic data analysis approaches that are necessary to make timely and accurate decisions in a diverse range of projects.Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied.Based on the authors' practical experience in implementing data analysis and data mining, the new edition provides clear explanations that guide readers from almost every field of study.This book will teach you the most widely used testing strategies and will introduce to you to still others, covering performance testing, continuous testing, and more.